Emerging markets are characterized by volatile, but substantial returns that can easily exceed 75% per annum. Balancing these lofty returns are liquidity costs that, using the bid–ask spread as a basis, range from 1% for the Taiwanese market to over 47% for the Russian market. However, the paucity of bid–ask spread information across countries and time requires the use of liquidity estimates in emerging markets even though little is known about the efficacy of these estimates in measuring bid–ask spread costs. Using firm-level quoted bid–ask spreads as a basis, I find that price-based liquidity measures of Lesmond et al. [Review of Financial Studies 12 (1999) 1113] and Roll [Journal of Finance 39 (1984) 1127] perform better at representing cross-country liquidity effects than do volume based liquidity measures. Within-country liquidity is best measured with the liquidity estimates of either Lesmond, Ogden, and Trzcinka or, to a lesser extent, Amihud (2002). Examining the impact of legal origin and political institutions on liquidity levels shows that countries with weak political and legal institutions have significantly higher liquidity costs than do countries with strong political and legal systems, even to the exclusion of legal origin or insider trading enforcement. Higher incremental political risk is associated with a 10 basis point increase in transaction costs, using the Lesmond, Ogden, and Trzcinka estimate, or a 1.9% increase in price impact costs, using the Amihud estimate.

Previous research provides evidence that, for the clients of a large audit firm, audit clients with higher perceived business risk bear the expected costs of this risk with higher audit fees. We extend the literature, which focuses on the relation between litigation risk and audit fees, by examining alleged client misconduct that is not illegal but possibly increases business risk. In particular, we examine the relation between audit fees and business risk for audit clients doing business in developing countries where bribery of top government officials has been an accepted business practice. We hypothesize that bribery‐paying clients are riskier because of both client business risk and audit business risk. Using data collected from Securities and Exchange Commission filings and audit fee data in the 1970s, before the passage of the Foreign Corrupt Practices Act, we provide evidence that audit fees were higher for clients that disclosed paying bribes. This evidence is consistent with an audit market where auditors assess business risk at the client level, then pass their expected costs to the client in the form of higher audit fees.

Schrand and Walther's (2000) archival evidence suggests that managers strategically disclose prior-period benchmarks in current earnings announcements, which, in turn, influences investors' judgments. Using a controlled experimental setting, I present evidence confirming that a transparent description of a transitory prior-period gain or loss affects how investors apply prior-period earnings when evaluating currentperiod earnings. I also provide evidence that this effect is likely to be unintentional on the part of investors, resulting from limitations in their memory for the prior-period event. Overall, the experimental results suggest that a quantitative description of the transitory prior-period gain or loss in a current earnings announcement helps investors to evaluate company performance. The results also highlight the need for consistency in reporting non-GAAP financial performance measures.

Editors exhort authors to circulate and present their working papers to colleagues before submitting them to journals (Zimmerman 1989; Green et al. 2002). Authors heeding such advice are said to increase the likelihood of getting their work published and making their research, once published, more influential (Zimmerman 1989). While evidence regarding these matters is of keen importance to authors, editors, and administrators, no research exists showing that circulating and presenting manuscripts increases their probability of being accepted in accounting journals or, when published, their influence on stimulating other research. I present such evidence by perusing acknowledgments in premier accounting journals. I examine the relation between circulating and presenting manuscripts and the probability of acceptance by relating acknowledgments of 305 papers submitted to The Accounting Review during June 2002–May 2003 to the editor's reject versus revise and resubmit decision. I examine the relation between circulating and presenting manuscripts and an article's influence by relating the acknowledgments in 256 articles published in The Accounting Review, Journal of Accounting Research, and Journal of Accounting and Economics to citations to these articles. My two analyses of acknowledgments to institutions, conferences, and individuals yield similar results. I find that papers presented at more workshops are more likely to be invited back to The Accounting Review, and that papers published in The Accounting Review, Journal of Accounting and Economics, or Journal of Accounting Research generate more citations if they were presented previously at more workshops.

This study examines the effect of independence threats and litigation risk on auditors' evaluation of information and subsequent reporting choices. Using a Web‐based experiment, I tracked auditors' information gathering and evaluation leading to a going‐concern reporting decision. Specifically, 48 audit managers assessed client survival likelihood, gathered additional information, and suggested audit report choices. I found that auditors facing high independence threats (fear of losing the client) evaluated information as more indicative of a surviving client and were more likely to suggest an unmodified audit report, consistent with client preferences. In contrast, auditors facing high litigation risk evaluated information as more indicative of a failing client and were more likely to suggest a modified audit report. In addition, the association between risk and report choice was fully mediated by final information evaluation. This suggests that it is unlikely that different reporting choices resulted from a conscious choice bias, but rather that motivated reasoning during evidence evaluation plays a key role in the effect of risk in auditor decision making.

Meese-Rogoff Redux: Micro-Based Exchange-Rate Forecasting By MARTIN D . D . EVANS AND RICHARD K . LYONS* This paper compares the true, ex ante fore- casting performance of a micro-based model against both a standard macro model and a random walk. In contrast to existing literature, which is focused on longer-horizon forecasting, we examine forecasting over horizons from one day to one month (the one-month horizon being where micro and macro analysis begin to over- lap). Over our three-year forecasting sample, we find that the micro-based model consistently outperforms both the random walk and the macro model. Micro-based forecasts account for almost 16 percent of the sample variance in monthly spot rate changes. These results pro- vide a level of empirical validation as yet unat- tained by other models. The forecasting experiment proposed by Richard Meese and Kenneth Rogoff (1983) re- mains a benchmark against which exchange- rate models are judged. Their result that structural macro models cannot outperform a naive random walk has proved robust over the decades. Yet, the Meese-Rogoff paper was never about forecasting in the true sense (i.e., using tirrie-f information to forecast exchange rates at t + 1). B y using concurrent, realized values of the forcing variables, their regressions were more about concurrent explanation than about ex ante forecasting. Their only forecast- ing element is in their reliance on ex ante data to estimate equation parameters, which appro- priately penalized models whose estimated pa- rameters were unstable. tion for the random-walk nature of exchange rates is that there exists some unobserved fun- damental that itself follows a random walk (un- observed being important because fundamentals proposed in most macro models do not follow random walks). They offer a different explana- tion, one rooted in the asset approach to ex- change rates and the present-value relation that follows from it. Specifically, they show that i f fundamentals are 1(1), but not necessarily ran- dom walks, then as the discount factor in the present-value relation approaches 1, the ex- change rate will follow a process arbitrarily close to a random walk. Intuitively, given that an 1(1) process can be split into random-walk and stationary components, a discount factor near 1 means that most all of the weight is placed on fundamentals far into the future, ex- pectations of which are dominated by the random- walk component. Charles Engel and Kenneth West (2004, 2005) provide a valuable perspective on the forecastability of exchange rates. One explana- This paper takes the analysis of Engel and West as an important reorientation of thinking and brings it to the natural next step. Specifi- cally, if there is little room for forecasting based on stationary components of fundamentals, then one needs to focus on where all the action is, namely, exchange-rate dynamics that come from expectational surprises. Though the sur- prise part is, by definition, orthogonal to public information, our micro-based model shows that there should exist types of nonpublic infor- mation that are useful for forecasting this part, and where to look for these types of informa- tion. We then locate data on these types of nonpublic information and test whether they have true, ex ante forecasting power. We should * Evans: Department of Economics, Georgetown Uni- versity, Washington, DC 20057, and NBER; Lyons: Haas School of Business, University of California, Berkeley, C A 94720-1900, and NBER. We are grateful to Ken West for his comments and to the National Science Foundation for financial support. We refrain from using the word news because it has too strong an association with macro information that is public, which, even in the most careful of event studies, explains less than 5 percent of exchange-rate variation in total (see Torben Andersen et al., 2003).

Relicensing requirements for professionals who move across borders are widespread. In this article, we measure the effects of occupational licensing by exploiting an immigrant physician retraining assignment rule. Instrumental variables and quantile treatment effects estimates indicate large returns to acquiring an occupational license and negative selection into licensing status. We also develop a model of optimal license acquisition that, together with the empirical results, suggests that stricter relicensing requirements may lead not only to practitioner rents but also to lower average quality of service in the market for physicians.

Birth weight has emerged as the leading indicator of infant health and welfare and the central focus of infant health policy. This is because low birth weight (LBW) infants experience severe health and developmental difficulties that can impose enormous costs on society. But would the prevention of LBW generate equally sizable cost savings and health improvements? Estimates of the return to LBW-prevention from cross-sectional associations may be biased by omitted variables that cannot be influenced by policy, such as genetic factors. To address this, we compare the hospital costs, health at birth, and infant mortality rates between heavier and lighter infants from all twin pairs born in the United States. We also examine the effect of maternal smoking during pregnancy n the leading risk factor for LBW in the United States n on health among singleton births after controlling for detailed background characteristics. Both analyses imply substantially smaller effects of LBW than previously thought, suggesting two possibilities: 1) existing estimates overstate the true costs and consequences of LBW by at least a factor of four and by as much as a factor of 20;

Much research over the last 30 years has provided evidence that individuals display accounting fixation; that is, their cognitive process does not appropriately adapt to cross‐sectional or temporal differences in an accounting method. This paper presents the results of a quasi‐experimental test of the hypothesis that cognitive adaptation to a change in accounting method is an ordinal interactive function of three person characteristics: relevant accounting knowledge, general problem‐solving ability, and intrinsic motivation to appropriately engage in the decision task. Based on a product‐pricing decision task in which participants are provided with product costs reported by two generally employed product‐costing methods (activity‐based costing [ABC] and volume‐based costing), the results show that the majority of participants did not change their cognitive behavior when there was a change in the costing method. Further, those participants who did adapt to the change in accounting method, and thus avoided accounting fixation, did so by debiasing costs reported by volume‐based costing but not by ABC. Finally, these adapters generally exhibited high values for all three of the person characteristics compared with those who did not adapt.